Suppr超能文献

药剂师主导的急诊科高危患者用药评估:一项评估方案。

The effect of pharmacist-led medication review in high-risk patients in the emergency department: an evaluation protocol.

作者信息

Hohl Corinne M, McGrail Kimberlyn, Sobolev Boris

机构信息

Department of Emergency Medicine, University of British Columbia, Vancouver General Hospital, Vancouver, BC ; Centre for Clinical Epidemiology & Evaluation, Vancouver Coastal Health Research Institute, Vancouver, BC.

School of Population and Public Health, University of British Columbia, Vancouver, BC ; Centre for Health Services and Policy Research, University of British Columbia, Vancouver BC.

出版信息

CMAJ Open. 2015 Jan 13;3(1):E103-10. doi: 10.9778/cmajo.20140010. eCollection 2015 Jan-Mar.

Abstract

BACKGROUND

Adverse drug events are unintended and harmful events related to medication use. They are a leading cause of visits to the emergency department, unplanned admissions to hospital and death. Adverse drug events can be misdiagnosed in the emergency department, resulting in treatment delays. Our objective was to describe a process to evaluate the effect of pharmacist-led medication review in high-risk patients in the emergency department on the number of days these patients subsequently spent in hospital within 30 days of their index visit.

METHODS

We describe the evaluation of a prospective multicentre quality improvement program. During the evaluation period, triage nurses will flag incoming patients to the emergency department at high risk for adverse drug events by applying a clinical decision rule consisting of 4 variables (comorbid conditions, antibiotic use within 7 days, medication changes within 28 days and age). Consecutive eligible patients will be enrolled in the study and systematically allocated to either a pharmacist-led medication review group or a control group. In the intervention group, pharmacists will collect best-possible medication histories, review the patient's medications for appropriateness and adverse drug events, and communicate the results of their medication review to patients, caregivers and physicians. In the control group, nurses will start medication reconciliation by collecting best-possible medication histories, and physicians will refer patients to onsite pharmacists for specific medication management questions as needed. Health outcomes will be assessed using anonymized data linkage to administrative health databases. The primary outcome will be the percent days spent in hospital over a 30-day period.

INTERPRETATION

This protocol describes the methods for evaluating the effect of pharmacist-led medication review in high-risk patients in the emergency department on use of health services, and highlights the methodological challenges that will be encountered. We plan to disseminate the results of this evaluation through articles published in peer-reviewed journals, presentations at scientific meetings and briefing notes to institutional, provincial and national stakeholders.

摘要

背景

药物不良事件是与药物使用相关的意外且有害的事件。它们是导致患者前往急诊科就诊、非计划入院和死亡的主要原因。药物不良事件在急诊科可能会被误诊,从而导致治疗延误。我们的目标是描述一个评估药师主导的急诊科高风险患者用药审查对这些患者在首次就诊后30天内住院天数影响的过程。

方法

我们描述了一项前瞻性多中心质量改进项目的评估。在评估期间,分诊护士将通过应用由4个变量(合并症、7天内使用抗生素、28天内用药变化和年龄)组成的临床决策规则,识别进入急诊科的药物不良事件高风险患者。连续符合条件的患者将被纳入研究,并系统地分配到药师主导的用药审查组或对照组。在干预组中,药师将收集尽可能完整的用药史,审查患者用药的合理性和药物不良事件,并将用药审查结果告知患者、护理人员和医生。在对照组中,护士将通过收集尽可能完整的用药史开始用药核对,医生将根据需要将患者转介给现场药师以解决特定的用药管理问题。健康结局将通过与行政卫生数据库的匿名数据链接进行评估。主要结局将是30天内的住院天数百分比。

解读

本方案描述了评估药师主导的急诊科高风险患者用药审查对卫生服务利用影响的方法,并突出了将遇到的方法学挑战。我们计划通过在同行评审期刊上发表文章、在科学会议上进行报告以及向机构、省级和国家级利益相关者提供简报来传播该评估结果。

相似文献

引用本文的文献

4
Preventable adverse drug events: Descriptive epidemiology.可预防的药物不良事件:描述性流行病学
Br J Clin Pharmacol. 2020 Feb;86(2):291-302. doi: 10.1111/bcp.14139. Epub 2020 Jan 10.

本文引用的文献

5
Outcomes of emergency department patients presenting with adverse drug events.急诊科药物不良反应患者的结局。
Ann Emerg Med. 2011 Sep;58(3):270-279.e4. doi: 10.1016/j.annemergmed.2011.01.003. Epub 2011 Feb 26.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验